Triple

T36093420
Position Surface form Disambiguated ID Type / Status
Subject Third Court lawn E1043989 entity
Predicate formsPartOfViewOf P87889 FINISHED
Object Third Court
Third Court is a historic quadrangle at a Cambridge college, known for its traditional architecture and central lawn that forms a key part of the college’s scenic views.
 E114462 NE FINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Third Court | Statement: [Third Court lawn, formsPartOfViewOf, Third Court]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Third Court
Triple: [Third Court lawn, formsPartOfViewOf, Third Court]
Generated description
Third Court is a historic quadrangle at a Cambridge college, known for its traditional architecture and central lawn that forms a key part of the college’s scenic views.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: formsPartOfViewOf
Context triple: [Third Court lawn, formsPartOfViewOf, Third Court]
  • A. isPartOfView
    Indicates that one entity represents a view or perspective that is contained within, derived from, or included as a component of another view or larger visual/contextual structure.
  • B. depictsView
    Indicates that one entity visually represents or portrays the view, scene, or perspective of another entity.
  • C. hasParticularView
    Indicates that one entity holds, expresses, or is characterized by a specific opinion, perspective, or standpoint regarding something.
  • D. representedInPartBy
    Indicates that something is partially depicted, expressed, or captured within another thing, but not in its entirety.
  • E. structurePartOf chosen
    Indicates that one structure is a constituent or component of a larger, encompassing structure.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f76e32d60c8190ba781ffaaab4aa3d completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fd4129a8848190a5002150278ac689 completed May 8, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a390d37d1a081909bfd77a18b2a2eab completed June 22, 2026, 10:23 a.m.
NEDg Description generation batch_6a390e510fc8819084f001406a3a1ffe completed June 22, 2026, 10:28 a.m.
NED2 Entity disambiguation (via description) batch_6a390f2d062481908c4789fba5096e69 completed June 22, 2026, 10:32 a.m.
PD Predicate disambiguation batch_69fd3e0515ec8190937c7af71ebc3875 completed May 8, 2026, 1:36 a.m.
Created at: May 3, 2026, 4:08 p.m.